I am trying to simulate a finite calling population model in AnyLogic. My population consists of 10 agents and I want them to come back to the Source node after they have been served.
I thought about making conditioning with the SelectOutput node but the Source node does not have any input. The best thing that I came up with is to just limit the number of customers arrivals to 10. However, in this case, the model stops running after 10 arrivals which is not an appropriate result.
What can I do to be able to simulate such a type of model in AnyLogic?
EDIT: I thought that making agents come back to the Source node could be a solution to building the finite calling population model. The main purpose of my question is to understand how can I build such type of model in AnyLogic. Here is the description of the concept of the model.
You cannot send them back to a Source element, as it only acts to create agents.
However, you can send them back to blocks that come after the source as below:
Here, all agents created by the Source block will infinitely loop through the Queue and Delay blocks.
Related
We’re generating the data that we might get from a shop floor to run, test, and validate our machine learning models. We first have here a discrete event simulation model for our manufacturing system. Each production order is seen as an agent, which then goes through different processes with a queue (waiting time) and delays (firstly production time, secondly logistics time).
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But sometimes we have one process, for example, printing (code 5A, after the second Select5Output), with three different machines, which do not have a particular capacity. It’s time when we divide our order into parts and send them to those machines (very randomly, subjectively).
The data we take is from flowchart_process_states_log in Database.
The data we take is from flowchart_process_states_log in Database.
My questions here are:
How can we define the number of products in each order? Ex. we’re printing card, for one order it may be 10k, for another 8k or 33k. Can we define it as agent’s parameter? Then how can we vary them (stochastically, no exact number needed).
How can we split those 10k cards into three different machines? And then how to get back an complete agent with 10k? The Agent ID should remain the same as we trace and analyse them in ML model. Is it reasonable to see an order as an agent?
How can we multiply the number of our agent after a process? Ex. After cutting 10k pieces we have 20k.
We have the distribution for delay ex. triangle distribution. But we want some disturbances, when it suddenly takes 2 days for that delay instead of 3-4 hours as normal. How to do it?
Thank you in advance for your effort. Every help is highly appreciated, because we're here and learning together. Thank you !!
Is there a way to make attractor choice both free & random at the same time?
The problem I have with either on it's own is:
When the choice is set to Free - agents are using attractors in very predictable order based on attractor creation.
When the choice is set to Random - more than one agent is using an attractor at the same time, which I don't want.
Solution I found, but don't know how to implement correctly is in the following thread:
AnyLogic Attractor weird behavior
I tried to create an agent type (instead of a class) 'myAttractor' with a boolean variable inside (occupied or not occupied attractor), but I don't know how to assign that agent type to actual attractors within a node - if that is even possible?
Maybe there are other solutions to customise the attractor choice to achieve complete randomness with only one agent per attractor?
Many thanks in advance,
Peter
That is a good question and often a problem on the animation side of things.
One option is to create a collection, simple ArrayList will do, of all the attractors
Then in the Process Modelling Block (PML) where you setup the attractor you have a function that returns an Attractor. I supply the agent here so that we can keep track of what agent is sent to which attractor so that we can put the attractor back into the available pile once the agent leaves the attractor location.
Here is the getAttractor function
It gets a random available attractor and then also saves the agent that is taking it to a map
Here is the setup for the map mapAgentPerAttractor
If you want to free the attractor you can simple call this at any point that the attractor is freed
attractorsAvailable.add(mapAgentPerAttractor.get(agent));
mapAgentPerAttractor.remove(agent);
Here is the final result as well as a comparison where we are replciating the problem you described
One can see in the bottom node there are only 8 dots available as some agents are on the same attractor...
I have been working with Anylogic for about 6 months now and my goal is to model a generic energy supply chain for an energy demand (e.g. storm and heat for a house). As a result I want to evaluate how suitable the components in the energy supply chain are to meet the energy demand.
My idea would be to model the components (Ex. PV->Battery Storage->House) as agents. I would have modeled the energy flow in the agents with SD and individual events of the components (e.g. charging and discharging at the battery) via state diagrams.
Currently I have two problems:
Which possibilities are there to create a variable interconnection of my components (agents). For example, if I do not want to evaluate the scenario PV->Battery Storage->House, but PV->Electrolysis->Tank->Fuel Cell->House. My current approach would be to visually connect the agents with ports and connectors and then pass input and output variables for DS calculation via set and get functions. Are there other possibilities, e.g. to realize such a connection via an input Excel? I have seen a similar solution in the video: "How to Build a True Digital Twin with Self-Configuring Models Using the Material Handling Library" by Benjamin Schumann, but I am not sure if this approach can be applied to SD.
To evaluate the energy supply chain, I would like to add information to the energy flow, for example the type (electricity, heat), generation price (depending on which components the energy flow went through) and others. Is there a way to add this information to a flow in SD? My current approach would be to model the energy flow as an agent population with appropriate parameters and variables. Then agents could die when energy is consumed or converted from electricity to heat type. However, I don't know if this fits with the SD modeling of the energy flow.
Maybe you can help me with my problems? I would basically be interested in the opinion of more experienced Anylogic users if my approaches would be feasible or if there are other or easier approaches. If you know of any tutorial videos or example models that address similar problems, I would also be happy to learn from them.
Best
Christoph
Sounds like what you need is a model that combine agent-based and system dynamics approaches with Agents populating the stocks (in your case energy that then gets converted into heat) depending on their connection. There is an example of AB-SD combination model in 'Example' models and I also found one on cloud.anylogic.com, although it is from a different domain.
Perhaps if you can put together a simple example and share then I'll be able to provide more help.
I have an AnyLogic simulation model using trucks and forklifts as agents (Transporter type), and among other things would like to identify each time one of them becomes within a certain distance of another one (example within 5 meters). I will record this count as a variable within the main space of the model. I am using path-guided navigation.
I have seen a method "agentsInRange" which will probably be able to do the trick, but am not sure where to call this from. I assume I should be able to use the AL functionality of "Min distance to obstacle" (TransporterFleet) and "Collision detection timeout" (TransporterControl)?
Thanks in advance!
Since there don't seem to be pre-built functions for this, afaik, the easiest way is to:
add an int variable to your transporter agent type counter
add an event to your transporter type checkCollision that triggers every second or so
in the event, loop across the entire population of transporters and count the number that are closer than X meters (use distanceTo(otherTransporter) and write your own custom code)
add that number to counter
Note that this might be very inefficient computationally as it is quite brute-force. But might be good enough :)
I'm simulating a train system and want to measure the time a passenger spends from entering the system to boarding. Entering the system happens on a higher, boarding on a lower level of the model. The problem is that the TimeMeasureEnd block doesn't see the TimeMeasureStart blocks on a different level. Does anyone have experience with this problem or an idea for a solution?
Edit:
I call set_startObjects(TimeMeasureStart[]) in an event occuring once at the creation of the agent in the lower level and set either the start blocks of the one or the other parent, depending on what the parent is. The data is being collected in all child agents separately and displayed in separate histograms in each child agent. How can I accumulate all of them in one single histogram to display in main which is two layers above the child agent where the data is being collected?
you can always define the 'TimeMeasureStart' block dynamically in your 'TimeMeasureEnd' block. Just switch the entry mode for defining it to "static value" as below:
Now you can call on any 'TimeMeasureStart' object anywhere in the model, similar to below where it sits in 'Main':